Article2012

Toward an Interdisciplinary Probabilistic Theory of Measurement

31 citations0/0 files storedIEEE Transactions on Instrumentation and Measurement

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Scientific Measurement and Uncertainty Evaluation Probability and Statistical Research Psychometric Methodologies and Testing

Abstract

Measurement plays a key role in science and technology in which it is a privileged way of gathering information from the real world and of validating scientific models. Is it possible to achieve a unified measurement theory for the different disciplines, ranging from physics to psychology, in which it is involved? A basic kernel for such a theory is surveyed and discussed. A probabilistic approach is followed in order to consider uncertainty as an inherent feature.

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References

1946On the Theory of Scales of Measurement 2002On the foundations of measurement 2003Widely, strongly and weakly defined measurement 1984A review of the fundamental concepts of measurement 2002Evaluating the Measurement Uncertainty 2000Beyond the representational viewpoint: a new formalization of measurement 2008Data Modeling for Metrology and Testing in Measurement Science 2007Measurability

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2019A Proposal for a More User-Oriented GUM 2018Statistics and Metrology 2021Risk Analysis by a Probabilistic Model of the Measurement Process 2014Measurement science: constructing bridges between reality and knowledge

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